Hello yt users,
I have a (perhaps naive) ssh question related to the yt notebook. I would
like to run a yt notebook server on machine A. However, machine A cannot be
directly accessed via ssh from the wider internet. Instead, I must first
ssh into machine B, and then ssh from B to A. Machine B cannot run the
notebook server itself. Does anyone know how I can configure things -
perhaps by using a more complicated ssh tunnel command - so I that access a
notebook server running on machine A through machine B?
Thanks,
Andrew

Hi all,
I am trying to make my phase plots smaller so they can fit more nicely into
a paper. Alternatively, I would be fine with upping the font size so when
I shrink them you can read the axes. I found advise on how to do this for
slices, but not for phase_objects.
pc = PlotCollection(pf)
tracerp25 = alld.cut_region(["grid['specific_scalar[0]'] > 0.5", "grid['z']
< 0.192","grid['z'] > -0.192","grid['cyl_RCode'] < 1.2"])
pc.add_phase_object(tracerp25,["Density","z-velocity","CellMassSolar"],weight=None,x_bins=50,y_bins=50,y_bounds
= [-4e7,8e7],x_bounds=[5e-28,5e-23],x_log=True,y_log=False)
Any help is much appreciated!
Thanks,
Stephanie

The following script gives me different results in the 2d phase plot when I
use multiple cores and switch the fieldc parameter. The results are
consistent if I only use a single core. Some of the plots produced seems
like it is missing data points or under-sampled, so I'm guessing maybe not
all the data from all the cores were collected at the end.
From
G.S.
#-----------------------------------------------------------------------------------
from yt.mods import *
i=2
file = "RD%04i" % i
fn = file+"/"+file
pf=load(fn)
dd=pf.h.all_data()
fieldx='Density'
fieldy='Temperature'
fieldc='CellVolumeCode'
#fieldc='CellVolume'
#fieldc='CellMassMsun'
#fieldc='CellMass'
#fieldc='Ones'
pplot = PhasePlot(dd, fieldx, fieldy, [fieldc],weight_field=None)
pplot.save('example/'+file)
#---------------------------------------------------------------------------------------

Hi folks,
Some time ago John Wise kindly gave me a yt script that uses AMRKDTree to speed up "camera" 3-d
rendering, it worked very well and fast (takes like a few minutes to do a rendering of a galaxy with 2048x2048 pixel).
It looks like
volume = AMRKDTree(pf, le=le, re=re, fields=["Density"], no_ghost=False)
then used in
cam = pf.h.camera(c, L, W, (N,N), tf, volume=volume, no_ghost=False, north_vector=Ldm,steady_north=True)
It appears that yt has evolved and the "volume ..." statement no longer works.
Is there a solution to that in the newer version?
Alternatively, is there another speedy way to do 3-d rendering?
Thanks very much,
Renyue

Is there any updated examples for using the yt 3.0 volume rendering?
For instance, looking at this:
http://yt-project.org/docs/dev/cookbook/simple_plots.html#simple-volume-r...
The field name is no longer simply "Density", but now, for my data, I need
to use a tuple like:
field = ('boxlib', 'magvel')
And then when I look at the extrema, I no longer take the [0] index, as
that just gives the min, but instead if I look at:
dd.quantities["Extrema"](field)
I get:
(124.858613718 dimensionless, 18061918.0546 dimensionless)
(not sure why they are dimensionless, but that's a different problem).
Finally, if I try to make a transfer function, like:
tf = ColorTransferFunction((mi, ma))
I get:
NameError: name 'ColorTransferFunction' is not defined
I just synced up with the development version today.
Mike
--
Michael Zingale
Associate Professor
Dept. of Physics & Astronomy * Stony Brook University * Stony Brook, NY
11794-3800
*phone*: 631-632-8225
*e-mail*: Michael.Zingale(a)stonybrook.edu
*web*: http://www.astro.sunysb.edu/mzingale

Hi everybody,
I'm a bit of a yt-newb, and I was wondering what the best way to handle a
problem I'm working on it.
Basically, I have a (large) list of locations (centers of galaxies), and I
want to make a profile plot using the data from all of the shells a
distance r > 10kpc, r < 100 kpsc from each of these centers. I tried using
a loop with the expression
x = pf.h.boolean([x, "AND", newShell])
to just build the data up over many iterations before finally using
create_profile after the end of the loop, but this approach ran out of
memory. Is there a better way to get the sum of a large data set?
Thanks in advance for any help,
Thomas

Hi all,
If over the past month or so you've noticed some font rendering issues on
yt-project.org when using the Google Chrome web browser, that should be
fixed now.
Unfortunately it was due to an as yet unpatched bug in the browser. We
have implemented a workaround that should fix it.
Sorry for any trouble this has caused.
Cheers,
Nathan Goldbaum

Hi yt users,
I try to install pyx onto my existing yt package (including yt,
python, numpy ....).
Buit I get following error message:
======
Downloading/unpacking pyx
Could not find any downloads that satisfy the requirement pyx
Some externally hosted files were ignored (use --allow-external pyx to allow).
Cleaning up...
No distributions at all found for pyx
Storing debug log for failure in /home52/jhchoi/.pip/pip.log
====
The pip.log file says
------------------------------------------------------------
/home/jhchoi/common/bin/pip run on Wed Mar 26 10:05:31 2014
Downloading/unpacking pyx
Getting page https://pypi.python.org/simple/pyx/
URLs to search for versions for pyx:
* https://pypi.python.org/simple/pyx/
Analyzing links from page https://pypi.python.org/simple/PyX/
Skipping https://downloads.sourceforge.net/project/pyx/pyx/0.12.1/PyX-0.12.1.tar.g...
(from https://pypi.python.org/simple/PyX/) because it is externally
hosted.
Skipping https://downloads.sourceforge.net/project/pyx/pyx/0.13/PyX-0.13.tar.gz#md...
(from https://pypi.python.org/simple/PyX/) because it is externally
hosted.
Could not find any downloads that satisfy the requirement pyx
Some externally hosted files were ignored (use --allow-external pyx to allow).
Cleaning up...
Removing temporary dir /tmp/pip_build_jhchoi...
No distributions at all found for pyx
Exception information:
Traceback (most recent call last):
File "/home/jhchoi/common/lib/python2.7/site-packages/pip-1.5.4-py2.7.egg/pip/basecommand.py",
line 122, in main
status = self.run(options, args)
File "/home/jhchoi/common/lib/python2.7/site-packages/pip-1.5.4-py2.7.egg/pip/commands/install.py",
line 278, in run
requirement_set.prepare_files(finder,
force_root_egg_info=self.bundle, bundle=self.bundle)
File "/home/jhchoi/common/lib/python2.7/site-packages/pip-1.5.4-py2.7.egg/pip/req.py",
line 1177, in prepare_files
url = finder.find_requirement(req_to_install, upgrade=self.upgrade)
File "/home/jhchoi/common/lib/python2.7/site-packages/pip-1.5.4-py2.7.egg/pip/index.py",
line 277, in find_requirement
raise DistributionNotFound('No distributions at all found for %s' % req)
DistributionNotFound: No distributions at all found for pyx
What does this error mean? And could anyone inform me how to resolve
this problem?
Thank you in advance,
Junhwan Choi

Hi all,
Just posting an example of how folks might like to use IPython notebook
interactive widgets to explore plots in yt (you'll need to download/run
locally to enjoy the fun):
http://nbviewer.ipython.org/url/hub.yt-project.org/notebooks/af2da7e70e53...
I think there is interest in developing a fully-fledged widget interaction,
so hopefully this can be used a bit in terms of tossing around ideas.
Cheers,
Sam

Hi There,
There is a PlutoGrid.convert(datatype) for converting the data
sets like 'prs', 'rho' etc to CGS from code units. Have any one used it ?
In case can you let me know of how you loaded the dataset ?
Cheers,
Varadarajan